A collection of AI applications, agentic workflows, and LLM architectures built using modern AI frameworks. This repository focuses on turning concepts into practical, scalable AI systems.
A production-ready Retrieval-Augmented Generation (RAG) system with a multi-stage reasoning graph.
- Orchestration: LangGraph
- Core Stack: FastAPI, ChromaDB, Ollama, Streamlit
- Key Features: Input domain guardrails, hybrid retrieval, and hallucination checks.
- Frameworks: LangChain, LangGraph, FastAPI
- Models: Support for Local LLMs using Ollama
- Vector Stores: ChromaDB
- Observability: LangSmith
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├── RAG/ # Modular RAG System
│ ├── app/ # Backend API & Logic
│ ├── pipeline/ # Data Ingestion
│ └── frontend/ # Streamlit UI
└── ... # More Agentic workflows coming soon